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Newman, Isadore; McNeil, Keith; Fraas, John – Mid-Western Educational Researcher, 2004
This article presents two methods of estimating a study's replicability that researchers should consider reporting along with their statistical significant and effect size findings. One method of estimating the replicability of the findings deals with replication in the exact same system. The second method, which may contain subjective probability…
Descriptors: Replication (Evaluation), Computation, Researchers, Documentation
Peer reviewedMcNeil, Keith; Newman, Isadore – Mid-Western Educational Researcher, 1996
Many interactions are found with categorical variables but few with continuous variables, suggesting that, from a mathematical point of view, investigating interactions with continuous variables is less powerful than with categorical variables. This issue is analyzed from three other points of view: study design, measurement of the independent…
Descriptors: Hypothesis Testing, Interaction, Research Design
Peer reviewedHarris, Richard J.; McNeil, Keith – Mid-Western Educational Researcher, 1993
Presents two viewpoints about the use and interpretability of beta weights in educational research: (1) that beta weights should be interpreted as a logical index of the importance of individual predictors within the context of the entire set of predictors; and (2) that interpretation requires certain cautions and conditions. (SV)
Descriptors: Data Interpretation, Educational Research, Multiple Regression Analysis, Predictor Variables
Peer reviewedMcNeil, Keith; Newman, Isadore – Mid-Western Educational Researcher, 1995
Presents situations in which researchers can use the general linear model to uncover reasons for discrepant effect-size results of meta-analysis of similar studies. Situations include similarly labeled treatments or participants differing in important ways, treatment effectiveness varying by subject aptitude or situational variables, research…
Descriptors: Effect Size, Hypothesis Testing, Meta Analysis, Research Methodology
Peer reviewedMcNeil, Keith; Newman, Isadore – Mid-Western Educational Researcher, 1994
Meta-analysis synthesizes related research by considering three major factors: sample size, magnitude of significance, and statistical test used. These factors produce an effect size, expressed as a correlation or as a difference between means, divided by the standard deviation. Discusses ways to use effect size when results are not consistent and…
Descriptors: Data Interpretation, Effect Size, Literature Reviews, Meta Analysis

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